Results 11 to 20 of about 323,393 (284)

Text-Graph Enhanced Knowledge Graph Representation Learning [PDF]

Frontiers in Artificial Intelligence, 2021
Knowledge Graphs (KGs) such as Freebase and YAGO have been widely adopted in a variety of NLP tasks. Representation learning of Knowledge Graphs (KGs) aims to map entities and relationships into a continuous low-dimensional vector space.
Linmei Hu, Mengmei Zhang, Shaohua Li, Jinghan Shi, Chuan Shi, Cheng Yang, Zhiyuan Liu   +6 more
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Knowledge Graphs [PDF]

ACM Computing Surveys, 2021
In this article, we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data.
Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia D’amato, Gerard De Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann   +17 more
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Advances in Knowledge Graph Embedding Based on Graph Neural Networks [PDF]

Jisuanji kexue yu tansuo, 2023
As graph neural networks continue to develop, knowledge graph embedding methods based on graph neural networks are receiving increasing attention from researchers.
YAN Zhaoyao, DING Cangfeng, MA Lerong, CAO Lu, YOU Hao
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Research and Application Progress of Chinese Medical Knowledge Graph [PDF]

Jisuanji kexue yu tansuo, 2022
Knowledge graph is a large-scale semantic network that gives machine background knowledge. Using knowledge graph to organize heterogeneous medical information can effectively improve the utilization value of massive medical resources and promote the ...
FAN Yuanyuan, LI Zhongmin
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Deep learning for predicting subtype classification and survival of lung adenocarcinoma on computed tomography

Translational Oncology, 2021
Objectives: The subtype classification of lung adenocarcinoma is important for treatment decision. This study aimed to investigate the deep learning and radiomics networks for predicting histologic subtype classification and survival of lung ...
Chengdi Wang, Jun Shao, Junwei Lv, Yidi Cao, Chaonan Zhu, Jingwei Li, Wei Shen, Lei Shi, Dan Liu, Weimin Li   +9 more
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Prediction of Progression to Severe Stroke in Initially Diagnosed Anterior Circulation Ischemic Cerebral Infarction

Frontiers in Neurology, 2021
Purpose: Accurate prediction of the progression to severe stroke in initially diagnosed nonsevere patients with acute–subacute anterior circulation nonlacuna ischemic infarction (ASACNLII) is important in making clinical decision.
Lai Wei, Yidi Cao, Yidi Cao, Kangwei Zhang, Yun Xu, Xiang Zhou, Jinxi Meng, Aijun Shen, Jiong Ni, Jing Yao, Lei Shi, Lei Shi, Qi Zhang, Qi Zhang, Qi Zhang, Peijun Wang   +15 more
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QubitE:Qubit Embedding for Knowledge Graph Completion [PDF]

Jisuanji kexue, 2023
The knowledge graph completion task completes the knowledge graph by predicting missing facts in the knowledge graph.The quantum-based knowledge graph embedding(KGE) model uses variational quantum circuits to score triples by mea-suring the probability ...
LIN Xueyuan, E Haihong , SONG Wenyu, LUO Haoran, SONG Meina
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Development and Evaluation of a Leukemia Diagnosis System Using Deep Learning in Real Clinical Scenarios

Frontiers in Pediatrics, 2021
Leukemia is the most common malignancy affecting children. The morphologic analysis of bone marrow smears is an important initial step for diagnosis. Recent publications demonstrated that artificial intelligence is able to classify blood cells but a long
Min Zhou, Min Zhou, Kefei Wu, Kefei Wu, Lisha Yu, Mengdi Xu, Mengdi Xu, Junjun Yang, Qing Shen, Qing Shen, Bo Liu, Bo Liu, Lei Shi, Lei Shi, Shuang Wu, Shuang Wu, Bin Dong, Hansong Wang, Hansong Wang, Jiajun Yuan, Jiajun Yuan, Shuhong Shen, Liebin Zhao, Liebin Zhao   +23 more
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Longitudinal trajectories of pneumonia lesions and lymphocyte counts associated with disease severity among convalescent COVID-19 patients: a group-based multi-trajectory analysis

BMC Pulmonary Medicine, 2021
Background To explore the long-term trajectories considering pneumonia volumes and lymphocyte counts with individual data in COVID-19. Methods A cohort of 257 convalescent COVID-19 patients (131 male and 126 females) were included.
Nannan Shi, Chao Huang, Qi Zhang, Chunzi Shi, Fengjun Liu, Fengxiang Song, Qinguo Hou, Jie Shen, Fei Shan, Xiaoming Su, Cheng Liu, Zhiyong Zhang, Lei Shi, Yuxin Shi   +13 more
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Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer

Nature Communications, 2022
Resistance to EGFR inhibitors presents a major obstacle in treating non-small cell lung cancer. Here, the authors develop a recommender system ranking genes based on trade-offs between diverse types of evidence linking them to potential mechanisms of ...
Anna Gogleva, Dimitris Polychronopoulos, Matthias Pfeifer, Vladimir Poroshin, Michaël Ughetto, Matthew J. Martin, Hannah Thorpe, Aurelie Bornot, Paul D. Smith, Ben Sidders, Jonathan R. Dry, Miika Ahdesmäki, Ultan McDermott, Eliseo Papa, Krishna C. Bulusu   +14 more
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